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Michael Spannowsky

Orcid: 0000-0002-8362-0576

According to our database1, Michael Spannowsky authored at least 22 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Quantum pathways for charged track finding in high-energy collisions.
[BibTeX]
[DOI]
Christopher Brown
,
Michael Spannowsky
,
Alexander Tapper
,
Simon Williams
,
Ioannis Xiotidis
Frontiers Artif. Intell., 2024

Training neural networks with universal adiabatic quantum computing.
[BibTeX]
[DOI]
Steve Abel
,
Juan Carlos Criado
,
Michael Spannowsky
Frontiers Artif. Intell., 2024

FeynMG: A FeynRules extension for scalar-tensor theories of gravity.
[BibTeX]
[DOI]
Sergio Sevillano Muñoz
,
Edmund J. Copeland
,
Peter Millington
,
Michael Spannowsky
Comput. Phys. Commun., 2024

Optimal Equivariant Architectures from the Symmetries of Matrix-Element Likelihoods.
[BibTeX]
[DOI]
Daniel Maître
,
Vishal S. Ngairangbam
,
Michael Spannowsky
CoRR, 2024

Collective variables of neural networks: empirical time evolution and scaling laws.
[BibTeX]
[DOI]
Samuel Tovey
,
Sven Krippendorf
,
Michael Spannowsky
,
Konstantin Nikolaou
,
Christian Holm
CoRR, 2024

The role of data embedding in quantum autoencoders for improved anomaly detection.
[BibTeX]
[DOI]
Jack Y. Araz
,
Michael Spannowsky
CoRR, 2024

Optimal Symmetries in Binary Classification.
[BibTeX]
[DOI]
Vishal S. Ngairangbam
,
Michael Spannowsky
CoRR, 2024

Generating Reservoir State Descriptions with Random Matrices.
[BibTeX]
[DOI]
Samuel Tovey
,
Christian Holm
,
Michael Spannowsky
CoRR, 2024

2023
Generative Invertible Quantum Neural Networks.
[BibTeX]
[DOI]
Armand Rousselot
,
Michael Spannowsky
CoRR, 2023

2022
A duality connecting neural network and cosmological dynamics.
[BibTeX]
[DOI]
Sven Krippendorf
,
Michael Spannowsky
Mach. Learn. Sci. Technol., 2022

IRC-Safe Graph Autoencoder for Unsupervised Anomaly Detection.
[BibTeX]
[DOI]
Oliver Atkinson
,
Akanksha Bhardwaj
,
Christoph Englert
,
Partha Konar
,
Vishal S. Ngairangbam
,
Michael Spannowsky
Frontiers Artif. Intell., 2022

Unsupervised Quark/Gluon Jet Tagging With Poissonian Mixture Models.
[BibTeX]
[DOI]
Ezequiel Alvarez
,
Michael Spannowsky
,
Manuel Szewc
Frontiers Artif. Intell., 2022

Quantum-probabilistic Hamiltonian learning for generative modelling & anomaly detection.
[BibTeX]
[DOI]
Jack Y. Araz
,
Michael Spannowsky
CoRR, 2022

A Genetic Quantum Annealing Algorithm.
[BibTeX]
[DOI]
Steven Abel
,
Luca A. Nutricati
,
Michael Spannowsky
CoRR, 2022

Identifying (anti-)skyrmions while they form.
[BibTeX]
[DOI]
Jack Y. Araz
,
Juan Carlos Criado
,
Michael Spannowsky
CoRR, 2022

IRC-safe Graph Autoencoder for an unsupervised anomaly detection.
[BibTeX]
[DOI]
Oliver Atkinson
,
Akanksha Bhardwaj
,
Christoph Englert
,
Partha Konar
,
Vishal S. Ngairangbam
,
Michael Spannowsky
CoRR, 2022

Qade: Solving Differential Equations on Quantum Annealers.
[BibTeX]
[DOI]
Juan Carlos Criado
,
Michael Spannowsky
CoRR, 2022

Completely Quantum Neural Networks.
[BibTeX]
[DOI]
Steve Abel
,
Juan Carlos Criado
,
Michael Spannowsky
CoRR, 2022

Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data.
[BibTeX]
[DOI]
Jack Y. Araz
,
Michael Spannowsky
CoRR, 2022

2021
Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States.
[BibTeX]
[DOI]
Jack Y. Araz
,
Michael Spannowsky
CoRR, 2021

Quantum Optimisation of Complex Systems with a Quantum Annealer.
[BibTeX]
[DOI]
Steve Abel
,
Andrew Blance
,
Michael Spannowsky
CoRR, 2021

Elvet - a neural network-based differential equation and variational problem solver.
[BibTeX]
[DOI]
Jack Y. Araz
,
Juan Carlos Criado
,
Michael Spannowsky
CoRR, 2021


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